Back to leaderboard

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

starling-lm:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
63 vs 65
Hardware Fit
100 vs 96
Quality Score
47 vs 52

Hardware

llama3.2:1b starling-lm:7b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Air
CPUCortex-A78AEApple M4
Cores610
RAM7 GB32 GB
GPUIntegrated / UnknownApple M4
OSUbuntu 22.04.5 LTSmacOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.2:1b starling-lm:7b
Tokens/sec40.223.8
First chunk1087 ms232 ms
TTFT1.1 s232 ms
Load time6.2 s0.4 s
Memory usage1.4 GB5.3 GB
Memory %19%17%

HW Fit Score Breakdown

llama3.2:1b

Speed
50/50
TTFT
20/20
Memory
30/30

starling-lm:7b

Speed
46/50
TTFT
20/20
Memory
30/30

Quality

llama3.2:1b

Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

starling-lm:7b

Reasoning
10/20
Coding
13/20
Instruction
8/20
Structured
3/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Adequate Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest